Your Impact at LILA

As a Machine Learning Research Scientist I/II in LLM Inference you will lead research on how we train and serve large language models for scientific applications.

What You’ll Be Building

Develop and optimize LLM post-training strategies including SFT, RLHF, and RL with verifiers.
Design test-time compute and efficient inference mechanisms for complex tool use environments.
Build scalable evaluations for LLM performance on scientific reasoning.
Explore the limits of frontier LLM based approaches for scientific tasks and quantifying their failure modes.

What You’ll Need to Succeed

Strong background in LLM training and deployment.
Research experience in scalable compute techniques.
Publications or contributions to open-source frameworks welcome.

Bonus Points For

Experience applying LLMs to scientific or technical data.
Work in collaborative cross-functional ML environments.

Location

San Francisco, CA or Cambridge, MA (Hybrid and On-Site available depending on team needs).

Compensation

We offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.

Expected Base Salary Range

$176,000—$304,000 USD

About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

Research Scientist, LLM Post-Training

Job Description

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